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《MATLAB智能算法超级学习手册》随书光盘，《MATLAB智能算法超级学习手册》的内容主要包括马尔科夫链模型、层次分析法、粒子群算法、遗传算法、蚁群算法、鱼群算法、PID控制算法、神经网络算法等。智能算法对于很多初学者而言，有一定的困难，很难理解程序流程、数据的运算过程，因此给实际应用带来困难。本书将围绕智能算法展开综述，深入浅出地介绍和分析各类智能算法，用智能算法解决工程应用问题。-Content " MATLAB super intelligent algorithm to study the manual" CD with the book, " MATLAB super intelligent algorithm to learn Manual" includes Markov chain model, AHP, particle swarm optimization, genetic algorithm, ant colony algorithm, fish algorithm, PID algorithms, neural network algorithms and other controls. Intelligent Algorithm For many beginners, there are certain difficulties, it is difficult to understand the program flow, data calculation process, and therefore difficult to practice. The book will focus on intelligent algorithms were summarized, easy to introduce and analyze various types of smart algorithm, using intelligent algorithms to solve engineering problems.
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下载文件列表
MT 智能算法
...........\第10章
...........\......\jwgcl.m
...........\......\jwgcp.m
...........\......\jwgcql.mdl
...........\......\jwgcqp.mdl
...........\......\pedulumpid.mdl
...........\......\pendulum.fig
...........\......\pendulum.m
...........\......\tracker.m
...........\......\wjc*q.mdl
...........\......\使用说明.txt
...........\第11章
...........\......\fun.m
...........\......\y11_1.m
...........\......\y11_2.m
...........\......\y11_3.m
...........\......\y11_4.m
...........\......\y11_4_2.m
...........\......\y11_4_3.m
...........\......\y11_4_4.m
...........\......\y11_4_5.m
...........\......\y11_5.m
...........\第12章
...........\......\y12_1
...........\......\.....\SAPSO.m
...........\......\.....\fitness.m
...........\......\y12_2
...........\......\.....\LinWPSO.asv
...........\......\.....\LinWPSO.m
...........\......\.....\fitness.m
...........\......\y12_3
...........\......\.....\SAPSO.asv
...........\......\.....\SAPSO.m
...........\......\.....\fitness.m
...........\......\y12_4
...........\......\.....\SAPSO.m
...........\......\.....\fitness.m
...........\......\y12_5
...........\......\.....\RandWPSO.asv
...........\......\.....\RandWPSO.m
...........\......\.....\fitness.m
...........\......\y12_6
...........\......\.....\YSPSO.asv
...........\......\.....\YSPSO.m
...........\......\.....\fitness.m
...........\......\y12_7
...........\......\.....\fitness.m
...........\......\.....\main1.m
...........\第13章
...........\......\Cross.m
...........\......\IAdata.mat
...........\......\Mutation.m
...........\......\Select.m
...........\......\bestselect.m
...........\......\concentration.m
...........\......\draw.m
...........\......\excellence.m
...........\......\fitness.m
...........\......\incorporate.m
...........\......\main.m
...........\......\popinit.m
...........\......\similar.m
...........\......\test.m
...........\第14章
...........\......\C_PSO.m
...........\......\CalCenter.m
...........\......\GetDistance.m
...........\......\PSO.m
...........\......\crossover.m
...........\......\decodebinary.m
...........\......\decodechrom.m
...........\......\hjjsort.m
...........\......\initpop.m
...........\......\mutation.m
...........\......\selection.m
...........\......\template.mat
...........\......\x.mat
...........\......\检验样本图片
...........\......\............\num0_1.bmp
...........\......\............\num0_2.bmp
...........\......\............\num0_3.bmp
...........\......\............\num1_1.bmp
...........\......\............\num1_2.bmp
...........\......\............\num1_3.bmp
...........\......\............\num2_1.bmp
...........\......\............\num2_2.bmp
...........\......\............\num2_3.bmp
...........\......\............\num3_1.bmp
...........\......\............\num3_2.bmp
...........\......\............\num3_3.bmp
...........\......\............\num4_1.bmp
...........\......\............\num4_2.bmp
...........\......\............\num4_3.bmp
...........\......\............\num5_1.bmp
...........\......\............\num5_2.bmp
...........\......\............\num5_3.bmp
...........\......\............\num6_1.bmp
...........\......\............\num6_2.bmp
...........\......\............\num6_3.bmp